Redbird AI syncs survey responses directly into BigQuery and enriches feedback with customer data from your warehouse. Stop exporting CSVs, manually joining tables, or writing custom ETL scripts to analyze survey data alongside your business metrics.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Every completed survey lands instantly in your warehouse as structured rows. Redbird maps question IDs to column names, handles response types, and maintains schema consistency. Your analytics dashboards update the moment feedback comes in.
Match survey respondents to your customer table using email or user ID, then append subscription tier, LTV, usage metrics, and cohort data to each response. Turn raw feedback into segmented insights without manual lookups or spreadsheet VLOOKUPs.
Query your warehouse for specific customer cohorts—churned users, high-value accounts, or feature adopters—and automatically populate SurveyMonkey contact lists. Launch targeted surveys to the right audience based on behavioral data, not static lists.
Pull years of survey history into your warehouse for trend analysis and time-series reporting. Redbird handles pagination, rate limits, and incremental loads. Keep all feedback centralized alongside product, sales, and support data.
When your warehouse identifies events like product adoption milestones, support ticket resolution, or contract renewal, automatically send targeted SurveyMonkey surveys. Close the loop between behavioral data and qualitative feedback without manual intervention.
Join survey sentiment scores with revenue, usage, and retention data in a single BigQuery table. Power Looker, Tableau, or custom dashboards that show how satisfaction correlates with business outcomes. No more disconnected reporting tools.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery and SurveyMonkey with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird understands BigQuery's table schemas and partitioning alongside SurveyMonkey's question types, collector logic, and response structures—so your survey data flows into the warehouse ready for analysis.
Redbird reads SurveyMonkey question metadata—multiple choice, matrix, open-ended—and intelligently maps responses to typed BigQuery columns. It handles nested answer structures, custom variables, and collector metadata without custom field mapping. When your warehouse schema changes or new survey questions are added, Redbird adapts automatically, maintaining data consistency across both systems.
faster than building custom SurveyMonkey-to-BigQuery ETL pipelines
Redbird can pull from BigQuery and SurveyMonkey simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either BigQuery or SurveyMonkey.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from BigQuery into SurveyMonkey, or from SurveyMonkey back into BigQuery. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start automations from new survey completions, query results, table updates, or any event in either system—then take action across your entire stack.
Trigger when a scheduled BigQuery query returns results matching specific conditions or volume thresholds.
Detect when new records are added to specified BigQuery tables or partitions in real-time.
Fire when column definitions, types, or structure changes occur in monitored warehouse tables.
Insert new records into BigQuery tables with proper type mapping and partitioning logic.
Run SQL queries with dynamic parameters from trigger data, returning results for downstream actions.
Modify existing rows in partitioned tables based on matching keys or time ranges.
Fire when a respondent submits a completed survey through any collector or distribution method.
Trigger when a team member publishes a new survey or duplicates an existing template.
Activate when a survey collector hits a specified number of completed responses or completion rate.
Add new contacts to SurveyMonkey audiences with custom fields for targeted survey distribution.
Distribute survey links via email to specific contacts or audience segments with personalized messages.
Append metadata or custom fields to existing survey responses for enriched analysis and segmentation.
Stop manually exporting survey data and running SQL joins in spreadsheets. Redbird connects BigQuery and SurveyMonkey so your feedback flows directly into your analytical backbone—automatically enriched and ready for analysis.